I actually interviewed with the Population Health Analytics team three separate times for three separate positions. (Internships and full-time positions). The results were always sort of the same: 0. They will come to your state university and feed you pizza and tell you they are interested in applicants. 1. The manager calls you up for a phone screen. 2. If you pass the phone screen, they call you in for a small group interview. 3. You will wait several months to hear if you were hired. 4. The manager will send out a blanket email saying that they were looking for someone with more experience. 5. You will look on LinkedIn and realize that they hired someone with less education and experience than you had. Be warned, if you are a Utah State University graduate student, they will want to use their alumni connections to pretend like they are interested in hiring you. They are not. Eat their free pizza and chalk it up to a free meal. They will invariably hire a Brigham Young University student. (Which I'm actually fine with; BYU is the much superior program and school). In the actual interviews, they will ask you to describe projects you have worked on. The best projects are ones that you used basic regression and classification techniques to perform an interesting, but routine, task with statistics. They are not research statisticians and do not care about *research* you have performed. They want you to speak about business and customer outcomes. As long as you are fundamentally sound on basic statistics, they are not going to ask you any questions that you cannot answer. You may be asked to do some simple programming in R. Know how to use glm() in R. Knowing some support vector (e1071) stuff may also be helpful. It overall looked like a nice enough place to work. Pretty clean. Do note that the pay is likely not amazing. (Based on what I could dredge up, they will pay you maybe 80% market value. Maybe less).